Optimization of a water supply system using genetic algorithms

Transcription

1 5 th Water Efficiency Conference Set 2018 Aveiro, Portugal Optimization of a water supply system using genetic algorithms João Ribau jfribau@isq.pt

2 sddd With more than 50 years of existence ABOUT ISQ headquarters in Portugal Founded in SUBSIDIARIES SPECIALIZED SERVICES ENNGINEERING & CONSULTANCY VERIFICATION & REGULATORY TESTING INSPECTION TRAINING R&D + I ISQ HEADQUARTERS CUSTOMIZED SOLUTIONS trainees training courses Promote R&D R&D international projects partners employees 800 in Portugal 55% + with degrees

3 sddd SECTORS ABOUT ISQ AERONAUTICAL & AEROSPACE AUTOMOTIVE CONSTRUCTION & INFRASTRUCTURES AGRO FOOD ENERGY & POWER GENERATION OIL & GAS PROCESS INDUSTRIES HEALTHCARE & MEDICAL ISQ HEADQUARTERS

4 ABOUT SIC Sustainable Innovation Centre SUSTAINABLE INNOVATION CENTRE TECHNICAL EXCELLENCE APPLIED RESEARCH INDUSTRY PARNER PROJECT COORDINATION Applied R&D UNIT 20 years of R&D 60 + R&D projects promoting Sustainability 12 financial instruments partners from 30 + countries scientific publications Creating Value

5 ABOUT SIC Sustainable Innovation Centre Life Cycle Assessment Eco-efficiency Circular Economy Industrial Symbiosis Resources mapping / Deep Sea Mining Remote detection Optimization strategies Waste heat recovery ESCO-Innovative business models Modeling of energy systems Nano-safety Climate change adaptation Industrial safety Creating Value ISQ s Sustainable Innovation Centre provide technical and scientific support to Industry within a large range of multisectorial competences aiming to achieve improved industrial competitivitness and sustainability

6 Water challenge UN Conference Rio+20 The Future We Want, recognized that water is at the core of sustainable development, with tremendous impacts on several sectors. Improve wastewater treatment Efficiency Reduce consumption Circular economy Nexus water-energy Reduce environmental impacts

7 Energy consumption in water systems Water systems are present in all economic sectors offering an important range of services, being indispensable to sustainable development. The energy consumption of the water sector worldwide was 120 Mtoe in A majority of this is in the form of electricity, corresponding to 4% of total global electricity consumption The electricity consumed for water, around 40% is used to extract water, 25% for wastewater treatment and 20% for water distribution. The electricity consumed for industrial water circuits, namely pumping corresponds to 20% Therefore, it is crucial to optimise water management systems within the context of nexus water-energy.

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9 Motivation Water supply systems are systems used to treat and transport water over vast geographical areas to consumers. Complex systems and large infrastructures Intensive energy users Old infrastructures Leaks Inefficient control strategy Need for support in decision-making How can water management be optimized for increased efficiency, minimized environmental impact, and minimized costs?

10 Project LIFE SWSS Name : Smart Water Supply Systems Funding Programme : LIFE financial instrument of the European Union Start of project: April 2015 End of project: March Budget: 1,4Million Euros Partnership:

11 Main objectives 1 Create an innovative management and decision support platform (SWSS) 2 Demonstrate SWSS platform on three demonstration systems 3 Reduce the energy consumption, GHG emissions and water leakage

12 Demonstration systems The SWSS platform will be implemented in three industrial scale demonstration sites, which are Águas do Algarve, EPAL's Centre, EPAL's West 24 pumping stations Water supply: 40 Mm 3 /year Water losses: m 3 /year Energy use: 17 GWh/year. 1,6 Million euros 2 1 General targets: Reduction of 15 % in the energy consumption Reduction of 15% in CO 2 emissions Reduction of the average water losses 3

13 Digital platform The SWSS platform will be composed of 5 modules: Predictive, Hydraulic simulation, Assessment, Leakage, and Optimization, which together will support the water companies in their efforts to improve energy efficiency and water efficiency. SCADA and GIS General system characteristics Operational conditions: Survey Off-line component Planning & Decision Support On-line component Operational Management

14 Frequency (%) 80,29 m Differential Hed (m) Approach 1. Survey of the systems % 75 % -50 Efficinecy (%) m 3 /h 193 m 3 /h Measured value Supplier reference Measured value Flow (m 3 /h) Supplier 40% 35% 30% 26% The baseline conditions must be stablished first 20% 19% 16% Pump inefficiencies are usually diagnosed 10% 0% 3% 5% 10% 15% 20% 25% Efficiency gap (%)

15 Approach 2. Mathematical modelling Hydraulic Simulation (EPANET) Using real data, the model of the system was developed. System modelling allows to test and evaluate operation scenarios

16 Approach 3. Water demand - Forecasting Models A predictive algorithm was developed to forecast the water demand for the next 24h, based on historical data

17 Approach 4. Optimization Real Water system Water demand prediction Optimal strategy to operate the system for the next 24 hours Pumping schedule optimization Pumping/Tank characteristics Water system model (EPANET) + Electricity tariff Goal: minimize the cost of the pumping operation Water network

18 Case Study results AdA Aguas do Algarve 12 Pumps 4 Tanks

19 Case Study results AdA Aguas do Algarve 12 Pumps 4 Tanks 12 Pumps 4 Tanks

20 Case Study results AdA Aguas do Algarve 12 Pumps 4 Tanks 12 Pumps 4 Tanks Solution i) is water level-driven - Min COST and Min level Solution ii) is solely cost-driven - Min COST -> more storage risk but -8% the cost and -3% pumping

21 % of the daily cost Case Study results AdA Aguas do Algarve 12 Pumps 4 Tanks Savings up to 10-17% comparatively to the real rule-based operation Iterations Main restrictions: Tolerance VS risk levels in tanks Availability of water in the network Daily water consumption

22 Conclusions Water systems improvement can lead to significant energy efficiency increases, and the reduction of costs, water losses, and environmental impact To improve it is necessary to know the current situation - baseline Digital solutions / technologies allow: o o o Identify technological and management opportunities Develop models that effectively support integrated decision-making Optimize the system with minimal investment or physical intervention

23 THANK YOU João Ribau T Sustainable Innovation Centre Acknowledgements This work is funded partially by the Portuguese Foundation for Science and technology, in the scope of the project «UID/EMS/00712/2013», and by the LIFE Programme LIFE14 ENV/PT/ LIFE SWSS